most citedInstance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver

2 citations

6 papers

eess.IV2026

Practical Lossless Volumetric Medical Image Compression via Tri-plane Context Tree Learning

Yuanchao Bai, Yifan Zhao, Kai Wang +5

Lossless compression of volumetric medical images is of paramount importance for clinical and research applications where data fidelity is essential. Traditional compression method…

cs.CL2026

Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs

Yidu Wu, Xiang Wang, Kejie Zhao +3

Large language models (LLMs) achieve strong generation and reasoning performance, but the Transformer architecture incurs high inference cost. Existing acceleration methods often r…

cs.DB2026

SQL-RewriteBench: A Correctness-Gated, Full-Denominator Benchmark for Statement-Level SQL Rewriting [Experiment,Analysis & Benchmark]

Jiang Long, Tianci Gao, Shiyuan Hao +3

Statement-level SQL rewriting can improve query performance and maintainability without changing the DBMS kernel, but existing benchmarks do not evaluate rewrite methods as deploya…

cs.DC2026

UBEP: Re-architecting Expert Parallelism Communication Library for Production Superpods

Yipeng Liu, Chang Liu, Si Shen +16

The deployment of Mixture-of-Experts (MoE) models on production high-bandwidth superpods, such as NVIDIA's NVL72/576 and Huawei's CloudMatrix384, introduces critical challenges bey…

cs.AI20262 cited

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver

Changliang Zhou, Xi Lin, Zhenkun Wang +3

In modern intelligent transportation systems (ITS), particularly in freight transportation and logistics, real-time route planning is crucial. It presents unique challenges driven…

eess.SP2026

Point-Cloud-Assistant Localized Statistical Channel Prediction by Tangent Gaussian Splatting

Ye Xue, Yiheng Wang, Xinhua Shao +3

Accurate, site-specific channel information is crucial for optimizing next-generation wireless networks. Among various approaches, localized statistical channel modeling (LSCM), wh…